Particle-Water Wave Optimization for Secure Routing in Wireless Sensor Network Using Cluster Head Selection

Khot, Pradeep Sadashiv; Naik, Udaykumar

doi:10.1007/s11277-021-08335-0

Cited by 42 publications

(21 citation statements)

References 36 publications

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“…P Rawat et al [25] proposed a clustering protocol named Energy Efficient Clusterhead Selection Scheme (ECSS). The proposed protocol is designed for a heterogeneous environment and aims to minimize energy usage in the network, thereby improving the lifespan of the network.…”

Section: Literature Reviewmentioning

confidence: 99%

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Grid-Based Routing Model for Energy Efficient and Secure Data Transmission in WSN for Smart Building Applications

et al. 2021

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Presently, due to the establishment of a sensor network, residual buildings in urban areas are being converted into smart buildings. Many sensors are deployed in various buildings to perform different functions, such as water quality monitoring and temperature monitoring. However, the major concern faced in smart building Wireless Sensor Networks (WSNs) is energy depletion and security threats. Many researchers have attempted to solve these issues by various authors in different applications of WSNs. However, limited research has been conducted on smart buildings. Thus, the present research is focused on designing an energy-efficient and secure routing protocol for smart building WSNs. The process in the proposed framework is carried out in two stages. The first stage is the design of the optimal routing protocol based on the grid-clustering approach. In the grid-based model, a grid organizer was selected based on the sailfish optimization algorithm. Subsequently, a fuzzy expert system is used to select the relay node to reach the shortest path for data transmission. The second stage involves designing a trust model for secure data transmission using the two-fish algorithm. A simulation study of the proposed framework was conducted to evaluate its performance. Some metrics, such as the packet delivery ratio, end-end delay, and average residual energy, were calculated for the proposed model. The average residual energy for the proposed framework was 96%, which demonstrates the effectiveness of the proposed routing design.

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Section: Literature Reviewmentioning

confidence: 99%

“…The review papers [16][17][18][19][20][21][22][23][24][25][26][27][28][29] are not up to the mark. The proposed method in this paper addresses more about the security issues and solved energy consumption, latency and packet delivery ratio problems.…”

Section: Literature Reviewmentioning

confidence: 99%

Grid-Based Routing Model for Energy Efficient and Secure Data Transmission in WSN for Smart Building Applications

et al. 2021

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“…WSN is generally a special category of an ad-hoc network that contains a large number of tiny sensors located in the sensing field. The sensors in the geographical area are used for observing certain phenomena such as vibration, temperature, motions, sound, and so on [1,2]. The sensors in the WSN have sensing equipment and signal processing devices that offer various abilities for processing the WSN sensors to enable wireless communications [3].…”

Section: Introductionmentioning

confidence: 99%

Secure Routing using Multi-Objective Trust Aware Hybrid Optimization for Wireless Sensor Networks

2022

IJIES

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Nowadays, energy optimization and data security are considered important security challenges while designing the network topology of Wireless Sensor Networks (WSNs). The problem of malicious nodes is required to be addressed to improve energy consumption and data delivery. Since the wireless sensor devices are energyconstrained, the issue of high packet loss by the malicious nodes must be addressed to enhance the network performance by making reduced energy consumption and delay. In this paper, a multi objective trust aware hybrid optimization (MOTAHO) is proposed to perform a secure data transmission over the WSN. The hybrid optimization is the combination of the moth flame and chicken swarm optimization (CSO), where it considered four distinct parameters such as trust, distance, energy, and number of hops for a secure cluster head (CH) selection and routing path generation. The developed MOTAHO method is used to provide security against the distributed denial of service (DDoS) attack. The performance of the MOTAHO method is analyzed in terms of routing load, packet delivery ratio (PDR), packet loss ratio (PLR), and average energy consumption. The existing methods namely secure routing protocol based on multi-objective ant-colony-algorithm (SRPMA), Energy-aware trust and opportunity-based routing (ETOR) for mobile nodes (MN) and grey wolf updated whale optimization algorithm (GU-WOA) are used to evaluate the effectiveness of the MOTAHO method. The PDR of the MOTAHO method is 97.44% for 4 DDoS attacks, which is high when compared to the SRPMA and ETOR-MN.

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“…WSNs is a promising technology used globally in different real time applications such as healthcare monitoring, battlefield monitoring, emergency response and environmental monitoring [1][2][3]. In WSN, the sensor nodes are unsystematically organized in the search areas to gather data in a periodic or event-driven form.…”

Section: Introductionmentioning

confidence: 99%

Secured Data Transmission Using Multi-Objective Trust Based Bat Optimization Algorithm and Enhanced Homomorphic Cryptosystem for WSN

2022

IJIES

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Wireless Sensor Networks (WSNs) have gained huge attention in different areas due to their selfconfigurability, easy maintenance and scalability features. WSN is configured with more nodes to transfer the data inside the network. The sensor networks are usually classified by low bandwidth, limited energy, limited power supplies and small size memory which leads to a very demanding environment to provide security. In recent years, accomplishing the network security objective with low energy utilization is a major issue in WSN. In this paper, twolevel security is proposed to secure data transmission over the WSN. First, the secure clustering and routing operation are performed by using the Multi-Objective Trust-based Bat Optimization Algorithm (MOTBOA). Second, the data security of the network is improved by the Enhanced Homomorphic Cryptosystem (EHC). This paper aims to offer secure communication in WSN. It is achieved by using the EHC method for the operation of encryption and decryption over the data during communication among the nodes. The performance of the proposed MOTBOA-EHC method is evaluated in terms of detection rate, delay, throughput, routing load and Packet Delivery Ratio (PDR). The existing methods namely Trust based Dynamic Source Routing (TDSR), Monarch-Cat Swarm Optimization-based routing protocol and Secured Quality of Service aware Energy Efficient Routing (SQEER) are used to evaluate the performances of the MOTBOA-EHC method. The PDR of the MOTBOA-EHC method is 92% at 100 rounds that are high when compared to the TDSR, MCSO and SQEER.

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Particle-Water Wave Optimization for Secure Routing in Wireless Sensor Network Using Cluster Head Selection

Cited by 42 publications

References 36 publications

Grid-Based Routing Model for Energy Efficient and Secure Data Transmission in WSN for Smart Building Applications

Grid-Based Routing Model for Energy Efficient and Secure Data Transmission in WSN for Smart Building Applications

Secure Routing using Multi-Objective Trust Aware Hybrid Optimization for Wireless Sensor Networks

Secured Data Transmission Using Multi-Objective Trust Based Bat Optimization Algorithm and Enhanced Homomorphic Cryptosystem for WSN

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